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%global _empty_manifest_terminate_build 0
Name: python-tensor2tensor
Version: 1.15.7
Release: 1
Summary: Tensor2Tensor
License: Apache 2.0
URL: http://github.com/tensorflow/tensor2tensor
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/89/0e/0b7a98efb7d91adbf5dc6a6b66eb513c6a5f1a770f4627f129d7368485a8/tensor2tensor-1.15.7.tar.gz
BuildArch: noarch
Requires: python3-absl-py
Requires: python3-bz2file
Requires: python3-dopamine-rl
Requires: python3-flask
Requires: python3-future
Requires: python3-gevent
Requires: python3-gin-config
Requires: python3-google-api-python-client
Requires: python3-gunicorn
Requires: python3-gym
Requires: python3-h5py
Requires: python3-kfac
Requires: python3-mesh-tensorflow
Requires: python3-numpy
Requires: python3-oauth2client
Requires: python3-opencv-python
Requires: python3-Pillow
Requires: python3-pypng
Requires: python3-requests
Requires: python3-scipy
Requires: python3-six
Requires: python3-sympy
Requires: python3-tensorflow-addons
Requires: python3-tensorflow-datasets
Requires: python3-tensorflow-gan
Requires: python3-tensorflow-probability
Requires: python3-tf-slim
Requires: python3-tqdm
Requires: python3-Pillow
Requires: python3-pandas
Requires: python3-tensorflow
Requires: python3-tensorflow-hub
Requires: python3-attrs
Requires: python3-pytest
Requires: python3-mock
Requires: python3-jupyter
Requires: python3-matplotlib
%description
Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now in maintenance mode -- we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax.
%package -n python3-tensor2tensor
Summary: Tensor2Tensor
Provides: python-tensor2tensor
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-tensor2tensor
Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now in maintenance mode -- we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax.
%package help
Summary: Development documents and examples for tensor2tensor
Provides: python3-tensor2tensor-doc
%description help
Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now in maintenance mode -- we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax.
%prep
%autosetup -n tensor2tensor-1.15.7
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-tensor2tensor -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.15.7-1
- Package Spec generated
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